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StreamSets description
StreamSets, now part of IBM, is a data integration platform designed to handle the complexities of moving and transforming data in today's hybrid and multi-cloud environments. It uses a visual, drag-and-drop interface to build data pipelines that are resilient to changes in data structure and format. This allows your data team to spend less time troubleshooting and more time delivering insights. StreamSets is suitable for various data integration tasks like real-time analytics, fraud detection, and cybersecurity.
Who is StreamSets best for
StreamSets, now part of IBM, simplifies data integration for real-time analytics and reporting. A user-friendly drag-and-drop interface empowers data engineers to build resilient data pipelines. While some users find debugging complex pipelines challenging, many praise the excellent customer support and versatile capabilities for handling both batch and streaming data.
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Best fit for enterprise companies.
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Suitable for various data integration tasks like real-time analytics, fraud detection, and cybersecurity.
StreamSets features
| Supported StreamSets supports real-time data ingestion via streaming data pipelines. |
| Supported StreamSets supports on-premises, cloud, and hybrid deployments. |
| Supported StreamSets Control Hub provides centralized pipeline management, monitoring, and deployment. |
| Supported StreamSets provides a drag-and-drop editor for creating data pipelines. |
| Supported StreamSets offers a Python SDK for creating code-native integrations. |
| Supported StreamSets supports GUI data transformations via StreamSets Transformer. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
StreamSets reviews
We've summarised 99 StreamSets reviews (StreamSets G2 reviews) and summarised the main points below.
- User-friendly drag-and-drop interface for building data pipelines.
- Excellent customer support team, responsive and cooperative.
- Versatile tool capable of handling both batch and streaming data.
- Wide range of pre-built connectors for various data sources and destinations.
- Real-time data processing capabilities for faster insights.
- Limited connector options, especially in the cloud version.
- Debugging complex pipelines can be challenging, with unclear error messages.
- Performance issues with large datasets, requiring more time to process.
- Lack of comprehensive documentation and community support for troubleshooting.
- Steep initial learning curve for new users unfamiliar with data integration platforms.
StreamSets pricing
The commentary is based on 8 reviews from StreamSets G2 reviews.
StreamSets' pricing model is ambiguous and potentially costly, especially for large-scale data integration. Some users find it expensive compared to competitors, while others consider it reasonable and good value. The pricing structure's complexity makes it difficult to determine the right version.
Users sentiment
StreamSets alternatives
PrefectBetter for data professionals comfortable with Python coding. More focused on task automation and pipeline management for data-centric workflows. Has a more active community and faster employee growth. Offers a free plan.Read more
Estuary FlowCloud-native solution with faster employee growth and publicly available user ratings. Offers more pre-built connectors. A good StreamSets competitor for those prioritizing real-time data pipelines.Read more
LookerBetter for business intelligence and data analysis. More user-friendly for non-technical users. Stronger integration with Google products.Read more
DataddoBetter for users less familiar with data pipelines due to the no-code interface. Wider range of pre-built connectors available. More affordable, especially for smaller businesses. StreamSets alternative; StreamSets competitor.Read more
AchoBetter for users seeking a no-code platform for building custom data applications. Acho has highly rated customer support and excels in handling large datasets. It also offers a free tier for basic usage.Read more
Prodly DevOpsBetter for Salesforce deployments. More focused on CPQ data migration. Has slower momentum. Negative pricing sentiment.Read more
StreamSets FAQ
What is StreamSets and what does StreamSets do?
StreamSets, now part of IBM, is a data integration platform built for hybrid and multi-cloud environments. It offers a visual, drag-and-drop interface for creating resilient data pipelines and features real-time data ingestion, flexible deployment options, and centralized pipeline management. This empowers data teams to accelerate data delivery and insights.
How does StreamSets integrate with other tools?
StreamSets integrates with various data sources and destinations using a wide range of pre-built connectors. It offers a Python SDK for code-native integrations and supports on-premises, cloud, and hybrid deployments for flexible data pipeline management.
What the main competitors of StreamSets?
Alternatives to StreamSets include Estuary Flow, Dataddo, and Prefect. These data integration platforms offer various features like real-time data ingestion, flexible deployment options, and user-friendly interfaces for building and managing data pipelines. They cater to diverse data integration needs for businesses of all sizes.
Is StreamSets legit?
StreamSets, now owned by IBM, is a legitimate data integration platform. It's known for its user-friendly interface and robust data pipeline capabilities, though some users find debugging complex pipelines challenging. With positive customer service reviews, StreamSets is a safe and reliable choice for data integration needs.
How much does StreamSets cost?
StreamSets does not publicly disclose pricing information. Contact StreamSets directly for product pricing details and to determine if it's worth the investment for your needs.
Is StreamSets customer service good?
StreamSets receives positive feedback for its customer support. Users describe the support team as "excellent," "responsive," "cooperative," and "accessible." While some mention the support being handled via Zendesk, the overall sentiment towards customer service remains positive.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.